I’ve spoken with dozens of enterprise data professionals at the world’s largest corporations, and one of the most common data quality questions is, “who does what?” This is quickly followed by, “why…

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Effective data quality management in large organizations involves clearly defined roles and responsibilities across foundational and derived data products. Foundational products, managed by a central team, serve multiple use cases, while derived products are tailored for specific needs and owned by domain-specific teams. Key practices include end-to-end monitoring, business rule application, and efficient triage processes. Building trust through communication and data health measurement is also crucial.

The “Who Does What” Guide To Enterprise Data Quality